Research Informatics contributes drug discovery projects from target assessment to lead optimization by supporting analysis of large volumes of diverse data, including but not limited to molecular properties, biological activities, genetic information, biomarkers and scientific literature. It establishes predictive tools to allow time and resource-efficient decision processes. It invests in developing new platforms for data analysis and visualization which allow for more effective interpretation and sharing of scientific results, turning information into knowledge.
